AI Article Synopsis

  • The study focused on understanding respiratory syncytial virus (RSV) shedding patterns among a cohort of 493 people in coastal Kenya during the 2009/2010 RSV season.
  • Researchers collected nasopharyngeal swabs every 3-4 days and used PCR tests to quantify viral loads, finding a median shedding amount of 29.4 log RNA copies per infection episode.
  • Factors such as being under one year old, showing upper respiratory symptoms, and having co-infections were linked to higher amounts of virus shed, providing valuable information for RSV prevention strategies.

Article Abstract

A better understanding of respiratory syncytial virus (RSV) epidemiology requires realistic estimates of RSV shedding patterns, quantities shed, and identification of the related underlying factors. RSV infection data arise from a cohort study of 47 households with 493 occupants, in coastal Kenya, during the 2009/2010 RSV season. Nasopharyngeal swabs were taken every 3 to 4 days and screened for RSV using a real time polymerase chain reaction (PCR) assay. The amount of virus shed was quantified by calculating the 'area under the curve' using the trapezoidal rule applied to rescaled PCR cycle threshold output. Multivariable linear regression was used to identify correlates of amount of virus shed. The median quantity of virus shed per infection episode was 29.4 (95% CI: 15.2, 54.2) log ribonucleic acid (RNA) copies. Young age (<1 year), presence of upper respiratory symptoms, intra-household acquisition of infection, an individual's first infection episode in the RSV season, and having a co-infection of RSV group A and B were associated with increased amount of virus shed. The findings provide insight into which groups of individuals have higher potential for transmission, information which may be useful in designing RSV prevention strategies.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5218551PMC
http://dx.doi.org/10.12688/wellcomeopenres.10284.2DOI Listing

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